Image Compression Using Lossless and Lossy Technique

Authors

  • Y. lakshmi Narayana  Department of MCA Sree Vidyanikethan Institute of Management, Sri Venkateswara University, Tirupati, Andhra Pradesh, India
  • V Rahamathulla  Assistant Professor, Department of MCA, Sree Vidyanikethan Institute of Management, A.Rangampeta, Tirupati, Andhra Pradesh, India

Keywords:

Image compression, LZW, Fractal decomposition, mean square error.

Abstract

Image compression is the way toward diminishing the measure of information required to speak to an image. Image Compression is utilized as a part of the field of Broadcast TV, Remote detecting, Medical Images. Numerous basic document designs are reviewed and the trial consequences of different conditions of lossy and lossless compression algorithms are given. In the proposed strategy, image is compacted by utilizing lossy and lossless strategies for various kinds of images. Here, the lossy compression is finished by the fractal decay code and lossless compression is finished by utilizing the LZW algorithm. LZW is the word reference based algorithm, which is basic and can be utilized for the equipment applications. Fractal compression speaks to the image in a contractive shape. In spite of its lossy nature it can be utilized for the instance of lossless compression. A general correlation is done in light of examining the parameters, for example, Peak Signal to Noise Ratio (PSNR), Mean Square Error(MSE), Image fidelity (IF), Absolute Difference (AD) to the diverse kinds of images.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-04-30

Issue

Volume 3, Issue 4, March-April-2018

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Y. lakshmi Narayana, V Rahamathulla, " Image Compression Using Lossless and Lossy Technique, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 4, pp.19-25, March-April-2018.